Welcome!

Java IoT Authors: Liz McMillan, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui, Pat Romanski

Related Topics: Containers Expo Blog, Java IoT, Microservices Expo, Microsoft Cloud, Linux Containers, SDN Journal

Containers Expo Blog: Blog Feed Post

The Re-Emergence of the Operating System

Each of the major infrastructure silos has to operate with some fixed environment in mind

Compute started its major architectural transition several years ago with the introduction of virtualization. If you pay attention to any of the IT noise today, it should be clear that storage and networking are going through their own architectural evolutions as well. But another shift is also underway: applications are fundamentally changing as well.

An interesting dynamic in all of this is that it is near impossible for each of the four major IT areas to undergo simultaneous, coordinated evolution. Change is hard enough on its own, but changing multiple variable at once makes it difficult to anchor to anything substantial. And when change does occur along multiple fronts at the same time, the task of determining causation for new found results is challenging at best.

Understanding that business underlies much of the change, the best that the industry can collectively do is to take some things as fixed and then change around that. And so we evolve each of the silos somewhat independently, trying hard to keep in mind that the environment into which they plug is also changing. At our best, we try to intersect the various changes. But when we miss, we tend to aim towards slotting into current architectural paradigms, because that allows us the best chance to make a meaningful difference in production environments. Indeed, always playing out ahead of the horizon might be great for making future progress, but it makes building a business around the resulting innovation nigh impossible.

Moving forward

And so IT as a whole continues the trudge forward.

Each of the major infrastructure silos—compute, storage, and networking—has to operate with some fixed environment in mind. The most basic thing to attach to is application infrastructure. While virtualization has made compute containers that make applications portable (the reason dynamic and change are so prominent in most marketing materials), the applications themselves have remained largely static.

Except, of course, that they haven’t.

Application architectures

Anyone watching the major web-scale players (think: Facebook, Google, Twitter, and the like) will know that the architecture for their applications is actually significantly different than what most enterprises currently think of. Applications tend to be flatter and more distributed, typically running on bare metal to avoid some of the virtualization overhead that exists in a pure hypervisor environment.

This new breed of scale-out applications would appear to mark the beginning of the application evolution. If this is truly a trend that will only increase, how will it impact the evolution of the other silos?

Software-defined everything

The prevailing chatter across the whole of IT is about software-defined everything. The view is that compute, storage, and networking will all work in cahoots to meet application requirements. The rise of controller-based architectures is prominent in both networking and storage roadmaps, and the compute side of the house embraced central control awhile back.

But what happens if the underlying assumption that applications emerge largely unscathed turns out not to be true?

It could be that the future of datacenter architectures will hinge not on the supporting infrastructure but on the applications themselves. If this is true, we could see a re-emergence of something that we haven’t really talked about in quite awhile: the operating system itself. Sure, there is still talk about Linux and all the server tools that come with it, but the actual operating system hasn’t materially changed in quite some time.

Learning from web-scale applications

If we learn anything from the web-scale companies pushing the boundaries for application performance, it should be that the future is not necessarily about the containers in which applications run. It could be about the underlying OS itself. What if the reason massively scaled companies are embracing bare metal isn’t only about the cost? There is certainly a performance aspect to it as well.

One somewhat uncomfortable conclusion here would be that all the infrastructure work involved in handling application portability across a containerized infrastructure could be somewhat transient. I don’t mean to suggest that it is not useful; there will be a relatively long transition to any kind of new application architecture. And even if there is a transition, the persistence of mainframes should tell us all that no change is absolute or all-encompassing. But a scenario where pockets of new-era applications co-exist in data centers with legacy applications seems likely. We are already seeing this with Hadoop, but I would expect to see more applications built on new architectures.

But this does mean that future-proofing datacenter investments requires a bit more nuance than just buying and planning on scale. Highly-distributed application architectures are even more dependent on east-west traffic. For every 1 byte of traffic going in and out of the datacenter, close to 1 Gigabyte transits the datacenter fabric in some current applications. This ratio likely gets even more aggressive over time.

The bottom line

How all of this plays out is anyone’s guess. We will certainly end up with a hybrid environment supporting all kinds of application architectures making use of various underlying infrastructure architectures. But none of us should be surprised when the industry starts talking a bit more broadly about the role of the operating system going forward. And if you are making plans based on a set of assumptions anchored to current architectures, it might be worth expanding the strategic aperture some to consider how this impacts current plans.

And as a final thought, if the operating system changes, is it still defined by the server, or do we end up with large, distributed operating systems? Put differently, what is the definition of the underlying platform? Are we looking at a new era of platform that includes all of compute, storage, networking, and applications? The implications would be dramatic.

[Today’s fun fact: Potatoes have more chromosomes than humans. I wonder if that means Mr. Potato Head has the combined chromosomes or just a subset of a potato’s.]

The post The re-emergence of the Operating System appeared first on Plexxi.

More Stories By Michael Bushong

The best marketing efforts leverage deep technology understanding with a highly-approachable means of communicating. Plexxi's Vice President of Marketing Michael Bushong has acquired these skills having spent 12 years at Juniper Networks where he led product management, product strategy and product marketing organizations for Juniper's flagship operating system, Junos. Michael spent the last several years at Juniper leading their SDN efforts across both service provider and enterprise markets. Prior to Juniper, Michael spent time at database supplier Sybase, and ASIC design tool companies Synopsis and Magma Design Automation. Michael's undergraduate work at the University of California Berkeley in advanced fluid mechanics and heat transfer lend new meaning to the marketing phrase "This isn't rocket science."

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...